Genetically encoded sensors enable real-time observation of metabolite production

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 9, 2016, Pages 2388-2393

  Rogers, Jameson K ^a   Church, George M ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

Biosensor; Biotechnology; Directed evolution; Metabolic engineering; Synthetic biology

Indexed keywords

ACRYLIC ACID; GLUCOSE; HYDRACRYLIC ACID; MALONYL COENZYME A; MUCONIC ACID; NYLON; POLYETHYLENE TEREPHTHALATE; TRANSCRIPTION FACTOR; CULTURE MEDIUM;

ANALYTIC METHOD; ARTICLE; BIOSENSOR; CLINICAL ASSESSMENT; CLINICAL EVALUATION; CONCEPTUAL FRAMEWORK; FLUORESCENCE ANALYSIS; GENETIC ANALYSIS; GENETIC VARIABILITY; HIGH THROUGHPUT SCREENING; LIMIT OF DETECTION; METABOLIC ENGINEERING; NONHUMAN; PRIORITY JOURNAL; TRANSCRIPTION REGULATION; CULTURE MEDIUM; FLUORESCENCE; GENETIC PROCEDURES; SYNTHETIC BIOLOGY;

BIOSENSING TECHNIQUES; CULTURE MEDIA; FLUORESCENCE; METABOLIC ENGINEERING; SYNTHETIC BIOLOGY;

EID: 84959519771     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1600375113     Document Type: Article

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